翻訳と辞書 Words near each other ・ Rex (surname) ・ Rex (title) ・ Rex (video game) ・ REX 5000 ・ REX 6000 ・ Rex 84 ・ Rex A. Wade ・ Rex Adams ・ Rex Adams (footballer) ・ Rex Addison ・ Rex Alexander ・ Rex Allen ・ Rex Allen Arizona Cowboy Museum and Willcox Cowboy Hall of Fame ・ Reward, Kern County, California ・ Reward, Saskatchewan ・ Reward-based selection ・ Reward-Tilden's Farm ・ Rewards and Fairies ・ Rewards for Justice Program ・ Rewards Network ・ RewardsCentral ・ RewardVille ・ Rewari ・ Rewari (Rural) ・ Rewari (Vidhan Sabha constituency) ・ Rewari Bar Association ・ Rewari Block of Rewari District ・ Rewari district ・ Rewari Khera ・ Rewari Khera, Bhiwani Dictionary Lists mini英和辞書 mini和英辞書 Webster 1913 Latin-English FOLDOC Wikipedia English ウィキペディア

翻訳と辞書　辞書検索 [ 開発暫定版 ] スポンサード リンク Reward-based selection ： ウィキペディア英語版 Reward-based selection Reward-based selection is a technique used in evolutionary algorithms for selecting potentially useful solutions for recombination. The probability of being selected for an individual is proportional to the cumulative reward, obtained by the individual. The cumulative reward can be computed as a sum of the individual reward and the reward, inherited from parents. ==Description== Reward-based selection can be used within Multi-armed bandit framework for Multi-objective optimization to obtain a better approximation of the Pareto front. The newborn $a\text{'}^$ and its parents receive a reward $r^$, if $a\text{'}^$ was selected for new population $Q^$, otherwise the reward is zero. Several reward definitions are possible: *1. $r^=1$, if the newborn individual $a\text{'}^$ was selected for new population $Q^$. *2. $r^\; =\; 1\; -\; \backslash frac\; \backslash mbox\; a\text{'}^\; \backslash in\; Q^$, where $rank(a\text{'}^)$ is the rank of newly inserted individual in the population of $\backslash mu$ individuals. Rank can be computed using a well-known non-dominated sorting procedure. *3. $r^\; =\; \backslash sum\_(a,Q^)\; -\; \backslash sum\_(a,Q^)$, where $\backslash Delta(a,Q^$ is the hypervolume indicator contribution of the individual $a$ to the population $Q^$. The reward $r^>0$ if the newly inserted individual improves the quality of the population, which is measured as its hypervolume contribution in the objective space. *4. A relaxation of the above reward, involving a rank-based penalization for points for $k$-th dominated Pareto front: $r^\; =\; \backslash frac)\}\; \backslash Delta(a,ndom\_k(Q^))\; -\; \backslash sum\_\; \backslash Delta(a,ndom\_k(Q^))\; \backslash right)$ Reward-based selection can quickly identify the most fruitful directions of search by maximizing the cumulative reward of individuals. 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Reward-based selection」の詳細全文を読む スポンサード リンク 翻訳と辞書 : 翻訳のためのインターネットリソース Copyright(C) kotoba.ne.jp 1997-2016. All Rights Reserved.